Bayesian statistics has emerged as a powerful methodology for making decisions from data in the applied sciences. Bayesian brings a new way of thinking to statistics, in how it deals with probability, ...

All you need to know about Bayes' theorem and how it's used to evaluate the probability that financial scenarios will occur.

DV560 Half Unit Bayesian Reasoning for Qualitative Social Science: A modern approach to case study inference This information is for the 2021/22 session. Teacher responsible ...

Chang Liu, Yue Yang, Howard Bondell, Ryan Martin, BAYESIAN INFERENCE IN HIGH-DIMENSIONAL LINEAR MODELS USING AN EMPIRICAL CORRELATION-ADAPTIVE PRIOR, Statistica Sinica, Vol. 31, No. 4 (2021), pp. 2051 ...

We present a general class of nonlinear time-series Markov regime-switching models for seasonal data which may exhibit periodic features in the hidden Markov process as well as in the laws of motion ...

Bayesian inference grew out of Bayes' theorem, a mathematical result from English clergyman Thomas Bayes, published two years after his death in 1761.